MNN-LLM is an efficient inference framework designed to optimize and accelerate the deployment of large language models on mobile devices and local PCs. It addresses high memory consumption and computational cost issues through model quantization, hybrid storage, and hardware-specific optimizations. MNN-LLM excels in CPU benchmark tests with significant speed improvements, making it ideal for users who need privacy protection and efficient inference.